DC CORE
Google Cloud offers a global cloud platform with flexible Compute Engine virtual machines and extensive data, application and infrastructure services. DC Core focuses on managed workloads whose hosting, access, monitoring and recovery controls need a clearly accountable operator.
SHORT ANSWER
Compute Engine sits alongside a large catalogue of data, machine-learning, container and application services. It suits teams able to design and operate a Google Cloud foundation or workloads that depend on those broader platform capabilities.
DC Core can take the agreed infrastructure, network, monitoring, patching and recovery responsibilities while documenting which application and data obligations remain with the customer.[1]
DETAILED COMPARISON
Google Cloud includes credible private-access and data-protection options. Those capabilities still need an owner and an operating process.
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| Area | DC Core managed cloud | Google Compute Engine design |
|---|---|---|
| Service model | Managed infrastructure and secure connectivity with responsibilities scoped to the workload.[1] | Compute Engine is IaaS. Google's shared-responsibility guidance says that for IaaS the bulk of security responsibilities are the customer's, while Google focuses on underlying infrastructure and physical security.[3] |
| Provisioning | DC Core maps dependencies, access, data location, backup and operational ownership before building or migrating the environment.[1] | Customers provision Compute Engine resources through Google Cloud interfaces and automation, selecting machine configuration, operating-system image, storage, network and location. Google also documents templates, managed instance groups and autoscaling for repeatable deployments.[10] |
| Management responsibility | DC Core can operate and patch the managed infrastructure, monitor service health and maintain agreed network controls. The customer normally retains its application and data.[1] | The customer selects and configures workload-level security controls, IAM, guest operating systems, applications, data protection and governance for Compute Engine. Google provides tooling and guidance rather than automatically assuming that operating role.[3] |
| Networking architecture | Private addressing, secured ingress and outbound-agent paths can connect workloads through DC Core's tenant-aware relay platform.[2] | Google Cloud VPC supports internal addresses, external addresses, firewall rules, Cloud NAT and load balancing. Compute instances can serve or fetch traffic without their own external IP by using the appropriate network service.[8] |
| Private admin access | Approved customer-side agents normally initiate outbound connections, avoiding general inbound VM management exposure.[2] | Identity-Aware Proxy TCP forwarding provides authenticated and authorised SSH/RDP or other administrative tunnels without a public routable IP on the target VM.[4] |
| Backups and DR | Encrypted backups and recovery controls are operated where agreed, with workload-specific retention and recovery objectives.[1] | Compute Engine offers snapshot schedules, machine images and Backup and DR Service. Google warns that protection must be implemented; the creation flow may preselect a method, but customers can change it or select no backups. Scope and restore testing still need ownership.[5] |
| Location and scale | Standard managed production tenancy data is designed for London, with France DR capacity, unless another arrangement is agreed.[1] | Compute Engine resources are hosted in regions and zones. Buyers choose the locations and distribution model that meet their latency, resilience and data-location requirements, while checking service availability by region.[9] |
| Support | Support can include operational work within the contracted managed boundary, not only advice about the underlying platform. | Basic Support includes billing, documentation, community resources and recommendations. Paid Standard, Enhanced and Premium packages add one-to-one technical support and different response/service levels.[7] |
| Pricing model | Scoped quote for infrastructure plus the selected management, monitoring, backup and support responsibilities. | Usage-based component pricing. Compute Engine uses on-demand rates and offers committed-use, sustained-use and Spot discounts subject to eligibility and workload behaviour; disks, snapshots and networking are separately relevant.[6] |
| Best suited for | Organisations seeking a UK-led managed operator for specific business workloads or transitional infrastructure. | Engineering teams that need Google Cloud's global scale, automation, data services or broader cloud-native ecosystem and can own the platform design. |
A fair caveat: Google Cloud can avoid public VM management exposure and automate policy-based data protection. IAP and Backup and DR Service are direct examples. The comparison is about who implements and runs the final design, not whether Google Cloud has the necessary technology.
Published by DC Core. Material Google Cloud claims are based on Google Cloud product pages and documentation.
Important: competitor information is based on publicly available documentation and may change. This page does not compare every Google Cloud product, partner-managed service or negotiated contract. Google Cloud, Google Compute Engine and related product names are trade marks of their respective owners. Google is not affiliated with DC Core and has not endorsed this comparison. Verify current features, pricing, availability and terms directly with Google Cloud before purchasing.
Use the actual machine configuration, disks, network usage and support scope in the comparison. Compare whole application architectures when Google-managed services form part of the workload, rather than treating every component as a VM.
DC Core includes a Central device licence with every VM ordered from us, with all Central software features including supported relay modes. Standard monitoring, administration and interactive remote access are included in standard connectivity; bulk transfer, dedicated connectivity, backup consumption and managed work follow the agreed scope. Read the included device licensing and service boundaries.
| Proposal item | What to request from either supplier |
|---|---|
| Resources and performance | VM count, CPU allocation, RAM, usable storage, disk performance and network capacity. Similar core counts alone do not establish equivalent application performance. |
| Software and access | OS and database licensing, monitoring tools, remote access and relay or VPN requirements. Identify what is included and what requires another subscription. |
| Operational ownership | Name the owner of patching, alerts, incident response, application administration and restores. Confirm support hours and escalation arrangements. |
| Recovery and location | Production and recovery regions, backup frequency, retention, restore testing and workload-specific RPO/RTO commitments. |
| Full cost and exit | Separate recurring resources, usage, management and one-off migration charges. Confirm data export, contract terms and responsibilities at exit. |
Inventory dependencies on Google Cloud identity, databases, storage and other managed services. Decide which components would move with the VM and which would remain connected to Google Cloud.
Build a provider-agnostic hosting requirements report with VM resources, network needs, recovery objectives and operational ownership. Save it locally or print a PDF to use with either provider.
For DC Core’s service scope and hosting locations, see managed cloud hosting. This comparison is published by DC Core; use the linked provider sources and your written proposals to evaluate both options.
COMPARE THE OPERATING MODEL
We will map the customer-owned work, identify where DC Core could fit and say plainly when Google Cloud remains the stronger choice.